PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena. The algorithms appearing in the current release emulate, in a metaphoric sense, the propagation of light through a physical medium with natural and engineered diffractive properties followed by coherent detection. Unlike traditional algorithms that are a sequence of hand-crafted empirical rules, physics-inspired algorithms leverage physical laws of nature as blueprints for inventing algorithms. In addition, these algorithms have the potential to be implemented in real physical devices for fast and efficient computation in the form of analog computing. This manuscript is prepared to support the open-sourced PhyCV code which is available in the GitHub repository: https://github.com/JalaliLabUCLA/phycv
翻译:PhyCV是第一个利用物理物理现象等式直接产生的算法的计算机视觉图书馆,在目前发行的算法中出现的算法在隐喻意义上仿照光通过物理介质通过自然和工程diffractive特性的自然和工程diffractive特性传播,随后进行连贯的检测。与手工制作经验规则序列的传统算法不同,物理学启发算法利用自然物理定法作为发明算法的蓝图。此外,这些算法有可能在以模拟计算为形式的快速高效计算的实际物理装置中实施。本手稿准备支持GitHub存放处提供的开放源的PhyCV代码:https://github.com/JalaliLabUCLA/phycv。